Engineering topics
Publications and source records attributed to Boorstyn, R. R..
This correspondence examines multiparameter generalizations of the Cramer-Rao (C-R) bound and related bounds from a new viewpoint. We derive a general class of bounds and show that Rao's generalization is the tightest (best) of the class. A bound reported by Zacks is another member of the class. This derivation of the C-R bound emphasizes its optimum nature. The relationship of the general class to Barankin bounds is also discussed.
Estimation of the parameters of a single-frequency complex tone from a finite number of noisy discrete-time observations is discussed. The appropriate Cramer-Rao bounds and maximum-likelihood (ML) estimation algorithms are derived. Some properties of the ML estimators are proved. The relationship of ML estimation to the discrete Fourier transform is exploited to obtain practial algorithms. The threshold effect of one algorithm is analyzed and compared to simulation results. Other simulation results verify other aspects of the analysis.
Research is reported dealing with problems of digital data transmission and computer communications networks. The results of four individual studies are presented which include: (1) signal processing with finite state machines, (2) signal parameter estimation from discrete-time observations, (3) digital filtering for radar signal processing applications, and (4) multiple server queues where all servers are not identical.
Four examples of currently operating computer-communication networks are described in this tutorial paper. They include the TYMNET network, the GE Information Services network, the NASDAQ over-the-counter stock-quotation system, and the Computer Sciences Infonet. These networks all use programmable concentrators for combining a multiplicity of terminals. Included in the discussion for each network is a description of the overall network structure, the handling and transmission of messages, communication requirements, routing and reliability consideration where applicable, operating data and design specifications where available, and unique design features in the area of computer communications.
Analysis and definition of digital techniques for signal processing
Adaptive array processing, dynamic programming, digital data transmission, recursive adaptive equalizers, and finite memory communication systems
Digital techniques for adaptive signal processing
Recursive signal detection scheme, obtaining SNR by derivative approximation
Derivative approximation techniques for recursive signal detection, using computer program for solving optimum and suboptimum processes signal to noise ratio in effectiveness evaluation
Digital signal processing, data smoothing, and computer simulation
Analysis of bandlimited signal transmission by zero crossings of optimum signal
Recursive techniques for digital signal processing, data smoothing and compression, and computer simulation of low error rate communication
Recursive solution to problem of signal detection in presence of additive Gaussian nonstationary nonwhite noise
Likelihood ratio analysis for detecting signals in additive non-white noise